Predict MASmodule — masScore • sasctl

score a data.frame MASmodule/model

masScore(
  session,
  module,
  data,
  exact = TRUE,
  ScoreType = "score",
  forceTrail = TRUE,
  ...
)

Arguments

session: viya_connection object, obtained through session function
module: MASmodule object, module name. If name, will try to find a single module with exact name match. See exact parameter
data: data.frame data.frame of the data
exact: the filter query should use "contains" for partial match or "eq" for exact match
ScoreType: execute for decision, score for model
forceTrail: boolean, if the mas model is a decision (execute), it will force add a trailing underscore (_) in variable names.
...: additional parameters to be passed to httr::GET such as httr::add_headers

Value

data.frame with scored rows

Examples


if (FALSE) { # \dontrun{
# single row
scored <- masScore(sess, "module_name", data[1,])
scored

# The masScore is implemented with `furrr` for maximum performance
# if you want to parallelize use the following code. 
# Not recommended when scoring single row because overhead will drop the performance

future::plan(future::multisession, workers = future::availableCores() -1)
scored <- masScore(sess, "module_name", data)

# if you want to go back to single threaded scoring use
future::plan(future::sequential)
} # }